metadata
license: mit
task_categories:
- question-answering
- text-generation
language:
- mg
tags:
- agent
size_categories:
- 1K<n<10K
Overview
This dataset is a Malagasy adaptation of grade-school-math-instructions. It consists of arithmetic word problems converted into instruction-answer pairs in Malagasy. Each entry contains a math problem presented as an instruction, optional contextual input, and a detailed step-by-step solution in Malagasy.
The dataset is particularly useful for training and evaluating models on arithmetic reasoning and instruction-following tasks in Malagasy, a low-resource language.
Potential Applications
This dataset can be used for:
- Instruct Fine-tuning language models for arithmetic reasoning in Malagasy
- Benchmarking multilingual instruction-following models
Usage
To load this dataset using the Hugging Face datasets library:
from datasets import load_dataset
dataset = load_dataset('Lo-Renz-O/grade-school-math-instructions-Malagasy')
print(dataset['train'][0])
Limitations
- Problems are adapted from English and may not fully reflect Malagasy-specific contexts.
- Focused on arithmetic reasoning; models trained may not generalize to advanced mathematics.